Volume 04 Issue 09-2024
20
International Journal of Medical Sciences And Clinical Research
(ISSN
–
2771-2265)
VOLUME
04
ISSUE
09
P
AGES
:
20-25
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
ABSTRACT
This article analyses the present condition of technological applications based on artificial intelligence (AI) and their
influence on the healthcare sector. This work conducted a comprehensive literature research and examined certain
real-world instances of AI implementations in the healthcare sector. Undoubtedly, the fast progress of artificial
intelligence (AI) and associated technologies will enable healthcare providers to provide fresh value for their patients
and enhance the effectiveness of their internal operations. However, successful deployment of AI will always pose
distinct problems and the adoption of specific approaches to revolutionize the whole care service and operations in
order to fully utilize the advantages of future technology. The analysis is derived on an examination of several
academic sources, encompassing research from ScienceDirect, MDPI, Elsevier, and the Journal of Consortium. These
sources address studies and data published from recent years till 2024.
KEYWORDS
Research Article
THE ROLE OF AI IN HEALTHCARE INDUSTRY
Submission Date:
Sep 01, 2024,
Accepted Date:
Sep 06, 2024,
Published Date:
Sep 11, 2024
Crossref doi:
https://doi.org/10.37547/ijmscr/Volume04Issue09-04
F. E. Kamolova
KIUT-Kimyo International University in Tashkent, Uzbekistan
D. X. Buvayeva
KIUT-Kimyo International University in Tashkent, Uzbekistan
S. M. Matmusayeva
KIUT-Kimyo International University in Tashkent, Uzbekistan
J.A. Djuraev
Associate Professor, Tashkent Medical Academy, Uzbekistan
Journal
Website:
https://theusajournals.
com/index.php/ijmscr
Copyright:
Original
content from this work
may be used under the
terms of the creative
commons
attributes
4.0 licence.
Volume 04 Issue 09-2024
21
International Journal of Medical Sciences And Clinical Research
(ISSN
–
2771-2265)
VOLUME
04
ISSUE
09
P
AGES
:
20-25
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
Artificial Intelligence, Natural Language Processing (NLP), patient management, real-world cases, machine learning,
AI-based technology.
INTRODUCTION
Artificial intelligence (AI)-supported technologies have
been extensively used in healthcare facilities to
enhance the quality of care services and optimize the
use
of
medical
resources.
Information
and
communication technology (ICT) is a fundamental
component of digitalised organisations that may assist
in improving operational efficiency and strengthening
competitive edge. The third Concerning the use of
artificial intelligence in healthcare, there are two
opposing viewpoints. While some perceive it as
negative or devoid of value, others consider it to be
exceedingly
beneficial.
Given
the
inherent
characteristics of the services and the susceptibility of
a considerable number of end users, there has been a
substantial div of study and discourse surrounding
the notion of artificial intelligence. At present, artificial
intelligence (AI) has shown to be a valuable tool in
aiding in decision-making, providing treatment
recommendations,
demonstrating
unwavering
dedication, and facilitating authoritative tasks for
skilled healthcare professionals. Research suggests
that artificial intelligence should be capable of doing
some tasks, such as accurately identifying diseases at a
level comparable to or superior to human capabilities
[1]. It finds applications in a wide range of diagnostic
and therapeutic modalities such as patient monitoring,
robot-assisted surgeries, patient data and risk analysis,
pharmaceutical discoveries, and clinical trials.
Moreover, the integration of AI in the healthcare
sector has always been a challenging subject due to
humans' apprehension about robots operating on their
bodies. [2]
Recent data and research on the implications of
artificial intelligence (AI) have demonstrated that deep
learning algorithms can accurately identify diabetic
retinopathy from eye scans with a 90% success rate
(A.K. Triantafyllidis, A. Tsanas 2019). A control center at
John Hopkins supported by artificial intelligence
enabled staff to allocate emergency department (ED)
patients to inpatient beds with a 30% increase in
efficiency (Walls, A.E. 2018). This review paper by
Rosenberg et. al (2010) provides a comprehensive
analysis of artificial intelligence (AI) applications in the
healthcare sector. The study indicates that Gunn
conducted the initial progressive research in 1976,
when he explored the feasibility of detecting severe
stomach discomfort using PC analysis (Rosenberg et. al
2010). Organizations such as Google and IBM are
Volume 04 Issue 09-2024
22
International Journal of Medical Sciences And Clinical Research
(ISSN
–
2771-2265)
VOLUME
04
ISSUE
09
P
AGES
:
20-25
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
actively engaged in integrating artificial intelligence
(AI) into the healthcare sector. The majority of AI-
enabled healthcare algorithms utilise Google's Deep
Mind Health or Watson's IBM to diagnose certain
diseases by analysing data collected from mobile
applications (Powles, J., Hodson, H. 2017). [2] An
analysis conducted by Aruba, a subsidiary of Hewlett-
Packard Enterprise, revealed that over 60% of hospitals
globally have integrated Internet of Things (IoT)
technology into their facilities. Page 3 Safavi and Kalis
project that artificial intelligence (AI) applications have
the potential to provide yearly savings of up to $150
billion for the healthcare sector in the United States by
2026. A total of 40 individuals, including doctors,
professionals, researchers, and representatives of
regulatory bodies, were interviewed for a study
conducted by Lai et al. (2020) in France. The majority of
the doctors surveyed held favourable opinions on AI,
including its potential and the advantages patients will
get in terms of time efficiency and timely notifications.
[2]
This article provides a comprehensive analysis of the
evolution of artificial intelligence (AI) in the medical
sector. It discusses the existing literature on the
implications of AI in the healthcare sector, highlights
the predominant applications of AI in medical
practices, delineates the several benefits that AI offers,
and highlights the challenges and limitations that AI is
currently encountering in the medical industry.
Furthermore, the research examines several practical
instances in the healthcare sector to comprehend the
impact of AI on care services and operational
procedures.
HISTORICAL CONTEXT AND DEVELOPMENT OF AI
Over time, human perspicacity has generated many
folds. Hamet Pierre and Tremblay Jean. It was the
1930s when humanity developed a virtual personal
computer that was almost the size of modern rooms.
The 1970s marked the start of the use of compact
personal computers within the medical services sector.
Currently, personal computers (PCs) have a significant
role in many aspects of the medical care field, ranging
from electronic billing, financial transactions, and
doctor billing to providing search and treatment
recommendations. Only because to the advancement
of Artificial Intelligence has all of this become possible.
[1] Artificial intellect (AI) is the replication of human
intellect in devices, such as computers or robots, that
are designed to imitate cognitive processes that
people attribute to other human brains, including
learning and problem-solving. Contemporary usage of
the terms Artificial Intelligence, machine learning, and
deep learning is widespread.Machine learning is a
statistical technique where computers are provided
with data and then utilize this data to train and learn by
fitting a model to it. The most common use of classical
machine learning approaches in healthcare is precision
medicine, which assesses the most probable success of
Volume 04 Issue 09-2024
23
International Journal of Medical Sciences And Clinical Research
(ISSN
–
2771-2265)
VOLUME
04
ISSUE
09
P
AGES
:
20-25
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
treatment alternatives for a patient by considering
various patient features and the therapy setting. [2]
Machine learning encompasses algorithms designed
for several tasks, including regression, grouping, and
others. These algorithms must undergo training using
data. Supplementing your algorithm with more data
enhances its performance. Artificial neural networks
are the foundation of the relatively new discipline of
deep learning in artificial intelligence. Moreover, deep
learning algorithms require data to acquire the ability
to address problems. [3] AI technologies encompass
machine learning, computer vision, natural language
processing (NLP), deep learning, and context aware
processing. These technologies may be integrated to
offer advanced solutions for many health care
challenges. [2] Natural language processing (NLP) is
the academic discipline that investigates the interplay
between human language and computers. [5] Artificial
intelligence advancements are extensively applied in
three clinical fields: medicine, neuroscience, and
cardiology. The key domains in which artificial
intelligence (AI) is applied, and the possible areas of
future AI integration, are identification/finding,
therapy, and assessment. [1]
KEY APPLICATIONS OF AI IN HEALTHCARE
Application of AI in Diagnosis and Treatment
As artificial intelligence (AI)-supported systems acquire
knowledge and make diagnoses based on extensive
medical research and patients' treatment histories,
they greatly enhance doctors' decision-making process
and therapy. In order to assist healthcare professionals
in their diagnostic and decision-making procedures,
Google's Deep Mind Health Technology is designed to
construct an artificial intelligence model of the human
brain that integrates machine learning with a
neuroscientific framework. [2] Watson for Oncology,
developed by IBM, is the most extensively used
artificial intelligence (AI) program in the healthcare
sector. Its primary function is to provide clinicians with
suitable treatment options. The third Physicians at the
Moorfields Eye Hospital in London have created an
artificial intelligence (AI) diagnostic system capable of
providing therapy recommendations for over 50 eye
disorders with a 94% accuracy rate. In China, artificial
intelligence (AI) technologies are being employed for
the diagnosis of colon polyps. One clinical investigation
used the collaboration of AI-based technologies and a
gastrointestinal specialist to diagnose a patient. In
another clinical research, just a specialist was
responsible for diagnosis. When AI was used to assist
in the diagnosis, the detection rate of polyps were
found to be 20% higher. [5]
Application of AI in Predictive Analytics
Recently, IBM's Watson has garnered favorable media
coverage for its capacity to concentrate on precision
medicine, particularly in the areas of cancer diagnosis
and treatment. A more challenging kind of machine
Volume 04 Issue 09-2024
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International Journal of Medical Sciences And Clinical Research
(ISSN
–
2771-2265)
VOLUME
04
ISSUE
09
P
AGES
:
20-25
OCLC
–
1121105677
Publisher:
Oscar Publishing Services
Servi
learning is deep learning, which use neural network
models to forecast results by utilizing several layers of
input or variables. Advanced deep learning techniques
are often employed in the medical sector to identify
potentially cancerous growths in radiographic
pictures. Radiomics, the field that involves identifying
clinically important patterns in MRI images that are not
visible to the human eye, is progressively using deep
learning techniques. Page 2 In 2016, The Cleveland
Clinic, a nonprofit multispecialty academic medical
facility in Cleveland, Ohio, started employing
Microsoft's AI digital assistant Cortana to use
predictive and advanced analytics to identifie patients
in the intensive care unit who may be at danger. The e-
Hospital system of Cleveland Clinic incorporates
Cortana to monitor a total of 100 beds across 6 ICUs
throughout the hours of 7 p.m. to 7 a.m. The third
Application of AI in Patient Engagement
The potential of artificial intelligence to extensively
enhance patient care and reduce medical costs is
considerable. The expanding population is expected to
drive an increase in the demand for health services. [2]
Core application areas of artificial intelligence include
providing suggestions for patient evaluation and
treatment,
tracking
patient
engagement
and
adherence, and assisting with administrative duties. In
order to ensure precise illness diagnosis and patient
safety, active involvement of patients in the medical
treatment process is essential. Furthermore, patients
themselves see their own involvement in treatment
sessions with medical personnel as a meaningful and
beneficial experience for their own benefit.
Encouraging patients to actively participate in their
medical treatment boosts their level of engagement in
fulfilling their role in the process, therefore positively
impacting their satisfaction with the quality of care. A
study by Boulding et al. found that patients' favorable
perception of their involvement in the treatment
process has beneficial effects on both the treatment
outcome and patients' safety. Hence, in order to
enhance the patient experience and achieve higher
quality of treatment, healthcare practitioners should
prioritize patient involvement and participation as a
strategic objective [5].
CONCLUSION
Innovation is essential in the ever-changing digital
environment. Given the continuous emergence of new
diseases, there is a critical need for a more efficient
healthcare system to promote the well-being of
individuals. There exists a need for unparalleled
technology that may be employed to communicate the
requirements to persons. Hence, the use of artificial
intelligence (AI) and associated technologies is not
optional, but rather a prevailing pattern those
enterprises must embrace and exploit to gain a
competitive edge. AI applications are revolutionizing
care delivery by transforming not just the diagnostic
and treatment procedures but also the lifestyle of
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International Journal of Medical Sciences And Clinical Research
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VOLUME
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20-25
OCLC
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1121105677
Publisher:
Oscar Publishing Services
Servi
patients, since their full well-being necessitates the
implementation of comprehensive healthy living
routines.
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